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Events for October 1 – October 28 – Page 2 – Office of Advanced Research Computing Events for October 1 – October 28 – Page 2 – Office of Advanced Research Computing

ArcGIS StoryMaps, WebApps and Dashboards

Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. *Make sure to register for … Read More

R for data analysis: A tidyverse approach

This session introduces the R statistical software environment, basic methods of data analysis, and the "tidyverse." While R is much more than the tidyverse, the development of the tidyverse packages, led by RStudio, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent … Read More

Data science basics: introduction to Python (without the scary)

Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from apps to automation to data analysis. In this workshop, we’ll start with the basics, step by step, and show you how Python can be applied to everyday problems in a way that’s simple and … Read More

ArcGIS StoryMaps, WebApps and Dashboards

Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. Make sure to register for … Read More

R Data Wrangling with dplyr, tidyr, readr, and more

Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. Supplemental materials are available.

Data science basics: introduction to Python 2 – from basics to data

Once you’ve taken your first steps with Python, it’s time to do more. In this workshop, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data, write simple reusable code, and explore how to pull meaning out of datasets. By working hands-on with examples, you’ll … Read More

Amarel monthly maintenance

Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More

R graphics with ggplot2

The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background. Supplemental materials are available.

Introduction to ArcGIS Pro

A Geographic Information System, also known as GIS, can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we will focus on ArcGIS Pro basics, explore the interface, add and visualize data, create a map layout which we can either export as a PDF … Read More